{ "best_metric": 0.6666322350502014, "best_model_checkpoint": "./checkpoints/llava-v1.6-mistral/checkpoint-125", "epoch": 7.992, "eval_steps": 1.0, "global_step": 248, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.032, "grad_norm": 1.3562940564009667, "learning_rate": 0.0, "loss": 1.2069, "step": 1 }, { "epoch": 0.032, "eval_loss": 1.189530849456787, "eval_runtime": 100.6384, "eval_samples_per_second": 1.987, "eval_steps_per_second": 0.497, "step": 1 }, { "epoch": 0.064, "grad_norm": 1.3726335882966116, "learning_rate": 7.737056144690831e-06, "loss": 1.242, "step": 2 }, { "epoch": 0.064, "eval_loss": 1.189530849456787, "eval_runtime": 95.3713, "eval_samples_per_second": 2.097, "eval_steps_per_second": 0.524, "step": 2 }, { "epoch": 0.096, "grad_norm": 1.267071497789874, "learning_rate": 1.2262943855309169e-05, "loss": 1.1588, "step": 3 }, { "epoch": 0.096, "eval_loss": 1.1675384044647217, "eval_runtime": 99.4768, "eval_samples_per_second": 2.011, "eval_steps_per_second": 0.503, "step": 3 }, { "epoch": 0.128, "grad_norm": 1.2066781722006759, "learning_rate": 1.5474112289381662e-05, "loss": 1.1196, "step": 4 }, { "epoch": 0.128, "eval_loss": 1.1391011476516724, "eval_runtime": 95.4777, "eval_samples_per_second": 2.095, "eval_steps_per_second": 0.524, "step": 4 }, { "epoch": 0.16, "grad_norm": 1.2746210039866817, "learning_rate": 1.7964888034078543e-05, "loss": 1.1462, "step": 5 }, { "epoch": 0.16, "eval_loss": 1.1023523807525635, "eval_runtime": 95.4138, "eval_samples_per_second": 2.096, "eval_steps_per_second": 0.524, "step": 5 }, { "epoch": 0.192, "grad_norm": 1.0552650848120237, "learning_rate": 1.9999999999999998e-05, "loss": 1.1147, "step": 6 }, { "epoch": 0.192, "eval_loss": 1.063745379447937, "eval_runtime": 97.6633, "eval_samples_per_second": 2.048, "eval_steps_per_second": 0.512, "step": 6 }, { "epoch": 0.224, "grad_norm": 1.0779287740182022, "learning_rate": 2e-05, "loss": 1.1773, "step": 7 }, { "epoch": 0.224, "eval_loss": 1.024451732635498, "eval_runtime": 97.388, "eval_samples_per_second": 2.054, "eval_steps_per_second": 0.513, "step": 7 }, { "epoch": 0.256, "grad_norm": 0.9918200495785524, "learning_rate": 2e-05, "loss": 1.0434, "step": 8 }, { "epoch": 0.256, "eval_loss": 0.9906812906265259, "eval_runtime": 97.2423, "eval_samples_per_second": 2.057, "eval_steps_per_second": 0.514, "step": 8 }, { "epoch": 0.288, "grad_norm": 0.9119239308208719, "learning_rate": 2e-05, "loss": 1.0527, "step": 9 }, { "epoch": 0.288, "eval_loss": 0.9626247882843018, "eval_runtime": 97.2048, "eval_samples_per_second": 2.058, "eval_steps_per_second": 0.514, "step": 9 }, { "epoch": 0.32, "grad_norm": 0.7292073828818868, "learning_rate": 2e-05, "loss": 0.9801, "step": 10 }, { "epoch": 0.32, "eval_loss": 0.9422003030776978, "eval_runtime": 97.143, "eval_samples_per_second": 2.059, "eval_steps_per_second": 0.515, "step": 10 }, { "epoch": 0.352, "grad_norm": 0.8195137858461904, "learning_rate": 2e-05, "loss": 1.0104, "step": 11 }, { "epoch": 0.352, "eval_loss": 0.9264165759086609, "eval_runtime": 97.2279, "eval_samples_per_second": 2.057, "eval_steps_per_second": 0.514, "step": 11 }, { "epoch": 0.384, "grad_norm": 0.7060464565699565, "learning_rate": 2e-05, "loss": 0.9764, "step": 12 }, { "epoch": 0.384, "eval_loss": 0.9138455986976624, "eval_runtime": 97.0954, "eval_samples_per_second": 2.06, "eval_steps_per_second": 0.515, "step": 12 }, { "epoch": 0.416, "grad_norm": 0.8207130544099034, "learning_rate": 2e-05, "loss": 1.0371, "step": 13 }, { "epoch": 0.416, "eval_loss": 0.902658224105835, "eval_runtime": 100.8924, "eval_samples_per_second": 1.982, "eval_steps_per_second": 0.496, "step": 13 }, { "epoch": 0.448, "grad_norm": 0.7962544586919155, "learning_rate": 2e-05, "loss": 0.9455, "step": 14 }, { "epoch": 0.448, "eval_loss": 0.8926536440849304, "eval_runtime": 100.856, "eval_samples_per_second": 1.983, "eval_steps_per_second": 0.496, "step": 14 }, { "epoch": 0.48, "grad_norm": 0.8246421268957655, "learning_rate": 2e-05, "loss": 0.9456, "step": 15 }, { "epoch": 0.48, "eval_loss": 0.8823295831680298, "eval_runtime": 97.0568, "eval_samples_per_second": 2.061, "eval_steps_per_second": 0.515, "step": 15 }, { "epoch": 0.512, "grad_norm": 0.7040845257818263, "learning_rate": 2e-05, "loss": 0.9283, "step": 16 }, { "epoch": 0.512, "eval_loss": 0.8721897602081299, "eval_runtime": 98.318, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.509, "step": 16 }, { "epoch": 0.544, "grad_norm": 0.7904707927869743, "learning_rate": 2e-05, "loss": 0.9786, "step": 17 }, { "epoch": 0.544, "eval_loss": 0.861838698387146, "eval_runtime": 101.4487, "eval_samples_per_second": 1.971, "eval_steps_per_second": 0.493, "step": 17 }, { "epoch": 0.576, "grad_norm": 0.7605583546638608, "learning_rate": 2e-05, "loss": 0.9361, "step": 18 }, { "epoch": 0.576, "eval_loss": 0.8519415259361267, "eval_runtime": 98.2448, "eval_samples_per_second": 2.036, "eval_steps_per_second": 0.509, "step": 18 }, { "epoch": 0.608, "grad_norm": 0.7005232039249588, "learning_rate": 2e-05, "loss": 0.8707, "step": 19 }, { "epoch": 0.608, "eval_loss": 0.842995822429657, "eval_runtime": 98.3165, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.509, "step": 19 }, { "epoch": 0.64, "grad_norm": 0.653693259495668, "learning_rate": 2e-05, "loss": 0.9332, "step": 20 }, { "epoch": 0.64, "eval_loss": 0.8355565071105957, "eval_runtime": 98.237, "eval_samples_per_second": 2.036, "eval_steps_per_second": 0.509, "step": 20 }, { "epoch": 0.672, "grad_norm": 0.6600451404133434, "learning_rate": 2e-05, "loss": 0.8848, "step": 21 }, { "epoch": 0.672, "eval_loss": 0.8297473788261414, "eval_runtime": 98.1825, "eval_samples_per_second": 2.037, "eval_steps_per_second": 0.509, "step": 21 }, { "epoch": 0.704, "grad_norm": 0.6666525650519819, "learning_rate": 2e-05, "loss": 0.9261, "step": 22 }, { "epoch": 0.704, "eval_loss": 0.8248497247695923, "eval_runtime": 98.1541, "eval_samples_per_second": 2.038, "eval_steps_per_second": 0.509, "step": 22 }, { "epoch": 0.736, "grad_norm": 0.6759718697778233, "learning_rate": 2e-05, "loss": 1.0103, "step": 23 }, { "epoch": 0.736, "eval_loss": 0.8214980959892273, "eval_runtime": 98.2494, "eval_samples_per_second": 2.036, "eval_steps_per_second": 0.509, "step": 23 }, { "epoch": 0.768, "grad_norm": 0.651870418762904, "learning_rate": 2e-05, "loss": 0.9538, "step": 24 }, { "epoch": 0.768, "eval_loss": 0.818403959274292, "eval_runtime": 97.9476, "eval_samples_per_second": 2.042, "eval_steps_per_second": 0.51, "step": 24 }, { "epoch": 0.8, "grad_norm": 0.6985872283132858, "learning_rate": 2e-05, "loss": 0.8216, "step": 25 }, { "epoch": 0.8, "eval_loss": 0.8149588108062744, "eval_runtime": 95.6175, "eval_samples_per_second": 2.092, "eval_steps_per_second": 0.523, "step": 25 }, { "epoch": 0.832, "grad_norm": 0.7801182369335715, "learning_rate": 2e-05, "loss": 0.8478, "step": 26 }, { "epoch": 0.832, "eval_loss": 0.8100517392158508, "eval_runtime": 99.7733, "eval_samples_per_second": 2.005, "eval_steps_per_second": 0.501, "step": 26 }, { "epoch": 0.864, "grad_norm": 0.6727766374526198, "learning_rate": 2e-05, "loss": 0.9015, "step": 27 }, { "epoch": 0.864, "eval_loss": 0.8051578998565674, "eval_runtime": 95.7387, "eval_samples_per_second": 2.089, "eval_steps_per_second": 0.522, "step": 27 }, { "epoch": 0.896, "grad_norm": 0.7398381040653764, "learning_rate": 2e-05, "loss": 0.8434, "step": 28 }, { "epoch": 0.896, "eval_loss": 0.7998965382575989, "eval_runtime": 95.7753, "eval_samples_per_second": 2.088, "eval_steps_per_second": 0.522, "step": 28 }, { "epoch": 0.928, "grad_norm": 0.6837341164482282, "learning_rate": 2e-05, "loss": 0.9124, "step": 29 }, { "epoch": 0.928, "eval_loss": 0.7946869134902954, "eval_runtime": 95.933, "eval_samples_per_second": 2.085, "eval_steps_per_second": 0.521, "step": 29 }, { "epoch": 0.96, "grad_norm": 0.7285508052728015, "learning_rate": 2e-05, "loss": 0.8252, "step": 30 }, { "epoch": 0.96, "eval_loss": 0.7891057729721069, "eval_runtime": 95.871, "eval_samples_per_second": 2.086, "eval_steps_per_second": 0.522, "step": 30 }, { "epoch": 0.992, "grad_norm": 0.706524788728722, "learning_rate": 2e-05, "loss": 0.8382, "step": 31 }, { "epoch": 0.992, "eval_loss": 0.7835636138916016, "eval_runtime": 95.7491, "eval_samples_per_second": 2.089, "eval_steps_per_second": 0.522, "step": 31 }, { "epoch": 1.024, "grad_norm": 0.7392763969473979, "learning_rate": 2e-05, "loss": 0.8586, "step": 32 }, { "epoch": 1.024, "eval_loss": 0.7780101299285889, "eval_runtime": 99.7493, "eval_samples_per_second": 2.005, "eval_steps_per_second": 0.501, "step": 32 }, { "epoch": 1.056, "grad_norm": 0.7407143277408553, "learning_rate": 2e-05, "loss": 0.8438, "step": 33 }, { "epoch": 1.056, "eval_loss": 0.7728690505027771, "eval_runtime": 95.8863, "eval_samples_per_second": 2.086, "eval_steps_per_second": 0.521, "step": 33 }, { "epoch": 1.088, "grad_norm": 0.7146296362894146, "learning_rate": 2e-05, "loss": 0.8357, "step": 34 }, { "epoch": 1.088, "eval_loss": 0.7683935761451721, "eval_runtime": 97.824, "eval_samples_per_second": 2.044, "eval_steps_per_second": 0.511, "step": 34 }, { "epoch": 1.12, "grad_norm": 0.7117142678212836, "learning_rate": 2e-05, "loss": 0.7884, "step": 35 }, { "epoch": 1.12, "eval_loss": 0.7646369338035583, "eval_runtime": 95.8185, "eval_samples_per_second": 2.087, "eval_steps_per_second": 0.522, "step": 35 }, { "epoch": 1.152, "grad_norm": 0.7735767817076163, "learning_rate": 2e-05, "loss": 0.8851, "step": 36 }, { "epoch": 1.152, "eval_loss": 0.7616337537765503, "eval_runtime": 96.1525, "eval_samples_per_second": 2.08, "eval_steps_per_second": 0.52, "step": 36 }, { "epoch": 1.184, "grad_norm": 0.7386952203362822, "learning_rate": 2e-05, "loss": 0.7943, "step": 37 }, { "epoch": 1.184, "eval_loss": 0.759408712387085, "eval_runtime": 96.2772, "eval_samples_per_second": 2.077, "eval_steps_per_second": 0.519, "step": 37 }, { "epoch": 1.216, "grad_norm": 0.6688305832985106, "learning_rate": 2e-05, "loss": 0.8433, "step": 38 }, { "epoch": 1.216, "eval_loss": 0.7577520608901978, "eval_runtime": 95.7726, "eval_samples_per_second": 2.088, "eval_steps_per_second": 0.522, "step": 38 }, { "epoch": 1.248, "grad_norm": 0.6861808214947546, "learning_rate": 2e-05, "loss": 0.8132, "step": 39 }, { "epoch": 1.248, "eval_loss": 0.7565059065818787, "eval_runtime": 96.1577, "eval_samples_per_second": 2.08, "eval_steps_per_second": 0.52, "step": 39 }, { "epoch": 1.28, "grad_norm": 0.7450886292190618, "learning_rate": 2e-05, "loss": 0.9067, "step": 40 }, { "epoch": 1.28, "eval_loss": 0.7562046647071838, "eval_runtime": 95.9983, "eval_samples_per_second": 2.083, "eval_steps_per_second": 0.521, "step": 40 }, { "epoch": 1.312, "grad_norm": 0.7508586498301053, "learning_rate": 2e-05, "loss": 0.8642, "step": 41 }, { "epoch": 1.312, "eval_loss": 0.755351722240448, "eval_runtime": 96.6244, "eval_samples_per_second": 2.07, "eval_steps_per_second": 0.517, "step": 41 }, { "epoch": 1.3439999999999999, "grad_norm": 0.7717273184776977, "learning_rate": 2e-05, "loss": 0.9406, "step": 42 }, { "epoch": 1.3439999999999999, "eval_loss": 0.753773033618927, "eval_runtime": 100.8127, "eval_samples_per_second": 1.984, "eval_steps_per_second": 0.496, "step": 42 }, { "epoch": 1.376, "grad_norm": 0.7980115302909253, "learning_rate": 2e-05, "loss": 0.7732, "step": 43 }, { "epoch": 1.376, "eval_loss": 0.7511720061302185, "eval_runtime": 97.4372, "eval_samples_per_second": 2.053, "eval_steps_per_second": 0.513, "step": 43 }, { "epoch": 1.408, "grad_norm": 0.794554904521861, "learning_rate": 2e-05, "loss": 0.8962, "step": 44 }, { "epoch": 1.408, "eval_loss": 0.7484354376792908, "eval_runtime": 96.7621, "eval_samples_per_second": 2.067, "eval_steps_per_second": 0.517, "step": 44 }, { "epoch": 1.44, "grad_norm": 0.7964935137573818, "learning_rate": 2e-05, "loss": 0.7725, "step": 45 }, { "epoch": 1.44, "eval_loss": 0.7454251050949097, "eval_runtime": 96.5292, "eval_samples_per_second": 2.072, "eval_steps_per_second": 0.518, "step": 45 }, { "epoch": 1.472, "grad_norm": 0.7477437094752549, "learning_rate": 2e-05, "loss": 0.8238, "step": 46 }, { "epoch": 1.472, "eval_loss": 0.7427694201469421, "eval_runtime": 96.4788, "eval_samples_per_second": 2.073, "eval_steps_per_second": 0.518, "step": 46 }, { "epoch": 1.504, "grad_norm": 0.7443339980176984, "learning_rate": 2e-05, "loss": 0.8273, "step": 47 }, { "epoch": 1.504, "eval_loss": 0.7407447099685669, "eval_runtime": 96.5686, "eval_samples_per_second": 2.071, "eval_steps_per_second": 0.518, "step": 47 }, { "epoch": 1.536, "grad_norm": 0.7901404920428264, "learning_rate": 2e-05, "loss": 0.7974, "step": 48 }, { "epoch": 1.536, "eval_loss": 0.7381842136383057, "eval_runtime": 96.6071, "eval_samples_per_second": 2.07, "eval_steps_per_second": 0.518, "step": 48 }, { "epoch": 1.568, "grad_norm": 0.8677109521747711, "learning_rate": 2e-05, "loss": 0.8011, "step": 49 }, { "epoch": 1.568, "eval_loss": 0.73555588722229, "eval_runtime": 96.4189, "eval_samples_per_second": 2.074, "eval_steps_per_second": 0.519, "step": 49 }, { "epoch": 1.6, "grad_norm": 0.8170436579363425, "learning_rate": 2e-05, "loss": 0.7762, "step": 50 }, { "epoch": 1.6, "eval_loss": 0.7331439256668091, "eval_runtime": 100.5875, "eval_samples_per_second": 1.988, "eval_steps_per_second": 0.497, "step": 50 }, { "epoch": 1.6320000000000001, "grad_norm": 0.8190539924095326, "learning_rate": 2e-05, "loss": 0.7469, "step": 51 }, { "epoch": 1.6320000000000001, "eval_loss": 0.7306647300720215, "eval_runtime": 101.1429, "eval_samples_per_second": 1.977, "eval_steps_per_second": 0.494, "step": 51 }, { "epoch": 1.6640000000000001, "grad_norm": 0.8044932603192197, "learning_rate": 2e-05, "loss": 0.8052, "step": 52 }, { "epoch": 1.6640000000000001, "eval_loss": 0.7287429571151733, "eval_runtime": 97.25, "eval_samples_per_second": 2.057, "eval_steps_per_second": 0.514, "step": 52 }, { "epoch": 1.696, "grad_norm": 0.7811170846407103, "learning_rate": 2e-05, "loss": 0.755, "step": 53 }, { "epoch": 1.696, "eval_loss": 0.7264651656150818, "eval_runtime": 97.67, "eval_samples_per_second": 2.048, "eval_steps_per_second": 0.512, "step": 53 }, { "epoch": 1.728, "grad_norm": 0.808405093976468, "learning_rate": 2e-05, "loss": 0.7838, "step": 54 }, { "epoch": 1.728, "eval_loss": 0.7242828607559204, "eval_runtime": 101.2008, "eval_samples_per_second": 1.976, "eval_steps_per_second": 0.494, "step": 54 }, { "epoch": 1.76, "grad_norm": 0.8172106270954758, "learning_rate": 2e-05, "loss": 0.7123, "step": 55 }, { "epoch": 1.76, "eval_loss": 0.7217574119567871, "eval_runtime": 99.6145, "eval_samples_per_second": 2.008, "eval_steps_per_second": 0.502, "step": 55 }, { "epoch": 1.792, "grad_norm": 0.83212530473105, "learning_rate": 2e-05, "loss": 0.8141, "step": 56 }, { "epoch": 1.792, "eval_loss": 0.7192932367324829, "eval_runtime": 97.1377, "eval_samples_per_second": 2.059, "eval_steps_per_second": 0.515, "step": 56 }, { "epoch": 1.8239999999999998, "grad_norm": 0.8632612959683078, "learning_rate": 2e-05, "loss": 0.8005, "step": 57 }, { "epoch": 1.8239999999999998, "eval_loss": 0.717003345489502, "eval_runtime": 97.2871, "eval_samples_per_second": 2.056, "eval_steps_per_second": 0.514, "step": 57 }, { "epoch": 1.8559999999999999, "grad_norm": 0.8362081570841255, "learning_rate": 2e-05, "loss": 0.8254, "step": 58 }, { "epoch": 1.8559999999999999, "eval_loss": 0.715446949005127, "eval_runtime": 97.5751, "eval_samples_per_second": 2.05, "eval_steps_per_second": 0.512, "step": 58 }, { "epoch": 1.888, "grad_norm": 0.8862779841020042, "learning_rate": 2e-05, "loss": 0.7949, "step": 59 }, { "epoch": 1.888, "eval_loss": 0.7145370244979858, "eval_runtime": 97.2406, "eval_samples_per_second": 2.057, "eval_steps_per_second": 0.514, "step": 59 }, { "epoch": 1.92, "grad_norm": 0.875656256488838, "learning_rate": 2e-05, "loss": 0.8277, "step": 60 }, { "epoch": 1.92, "eval_loss": 0.7140547037124634, "eval_runtime": 97.1485, "eval_samples_per_second": 2.059, "eval_steps_per_second": 0.515, "step": 60 }, { "epoch": 1.952, "grad_norm": 0.8850690645543244, "learning_rate": 2e-05, "loss": 0.8117, "step": 61 }, { "epoch": 1.952, "eval_loss": 0.7128701210021973, "eval_runtime": 97.8906, "eval_samples_per_second": 2.043, "eval_steps_per_second": 0.511, "step": 61 }, { "epoch": 1.984, "grad_norm": 0.8961641824408927, "learning_rate": 2e-05, "loss": 0.704, "step": 62 }, { "epoch": 1.984, "eval_loss": 0.7107064127922058, "eval_runtime": 102.2163, "eval_samples_per_second": 1.957, "eval_steps_per_second": 0.489, "step": 62 }, { "epoch": 2.016, "grad_norm": 0.8602247372004996, "learning_rate": 2e-05, "loss": 0.8016, "step": 63 }, { "epoch": 2.016, "eval_loss": 0.7091581225395203, "eval_runtime": 98.2114, "eval_samples_per_second": 2.036, "eval_steps_per_second": 0.509, "step": 63 }, { "epoch": 2.048, "grad_norm": 0.7881703384753784, "learning_rate": 2e-05, "loss": 0.7912, "step": 64 }, { "epoch": 2.048, "eval_loss": 0.7081906199455261, "eval_runtime": 98.9403, "eval_samples_per_second": 2.021, "eval_steps_per_second": 0.505, "step": 64 }, { "epoch": 2.08, "grad_norm": 0.8436680506716614, "learning_rate": 2e-05, "loss": 0.6965, "step": 65 }, { "epoch": 2.08, "eval_loss": 0.7070262432098389, "eval_runtime": 97.7451, "eval_samples_per_second": 2.046, "eval_steps_per_second": 0.512, "step": 65 }, { "epoch": 2.112, "grad_norm": 0.8694446846234115, "learning_rate": 2e-05, "loss": 0.7015, "step": 66 }, { "epoch": 2.112, "eval_loss": 0.7055197358131409, "eval_runtime": 97.994, "eval_samples_per_second": 2.041, "eval_steps_per_second": 0.51, "step": 66 }, { "epoch": 2.144, "grad_norm": 0.9518475022730614, "learning_rate": 2e-05, "loss": 0.6952, "step": 67 }, { "epoch": 2.144, "eval_loss": 0.7035844326019287, "eval_runtime": 98.0296, "eval_samples_per_second": 2.04, "eval_steps_per_second": 0.51, "step": 67 }, { "epoch": 2.176, "grad_norm": 0.8662066024104106, "learning_rate": 2e-05, "loss": 0.7731, "step": 68 }, { "epoch": 2.176, "eval_loss": 0.7019283771514893, "eval_runtime": 100.0982, "eval_samples_per_second": 1.998, "eval_steps_per_second": 0.5, "step": 68 }, { "epoch": 2.208, "grad_norm": 0.9574631942368209, "learning_rate": 2e-05, "loss": 0.7572, "step": 69 }, { "epoch": 2.208, "eval_loss": 0.7011401653289795, "eval_runtime": 101.9267, "eval_samples_per_second": 1.962, "eval_steps_per_second": 0.491, "step": 69 }, { "epoch": 2.24, "grad_norm": 0.9477542521472675, "learning_rate": 2e-05, "loss": 0.7393, "step": 70 }, { "epoch": 2.24, "eval_loss": 0.7006180286407471, "eval_runtime": 101.9672, "eval_samples_per_second": 1.961, "eval_steps_per_second": 0.49, "step": 70 }, { "epoch": 2.2720000000000002, "grad_norm": 0.9612956116350272, "learning_rate": 2e-05, "loss": 0.7175, "step": 71 }, { "epoch": 2.2720000000000002, "eval_loss": 0.7002539038658142, "eval_runtime": 101.8755, "eval_samples_per_second": 1.963, "eval_steps_per_second": 0.491, "step": 71 }, { "epoch": 2.304, "grad_norm": 0.9934844303955727, "learning_rate": 2e-05, "loss": 0.791, "step": 72 }, { "epoch": 2.304, "eval_loss": 0.6997203230857849, "eval_runtime": 97.9926, "eval_samples_per_second": 2.041, "eval_steps_per_second": 0.51, "step": 72 }, { "epoch": 2.336, "grad_norm": 1.0540430431227044, "learning_rate": 2e-05, "loss": 0.7542, "step": 73 }, { "epoch": 2.336, "eval_loss": 0.6988361477851868, "eval_runtime": 100.3704, "eval_samples_per_second": 1.993, "eval_steps_per_second": 0.498, "step": 73 }, { "epoch": 2.368, "grad_norm": 1.0249397957961794, "learning_rate": 2e-05, "loss": 0.8084, "step": 74 }, { "epoch": 2.368, "eval_loss": 0.6980065703392029, "eval_runtime": 101.8958, "eval_samples_per_second": 1.963, "eval_steps_per_second": 0.491, "step": 74 }, { "epoch": 2.4, "grad_norm": 1.0445498365690145, "learning_rate": 2e-05, "loss": 0.7964, "step": 75 }, { "epoch": 2.4, "eval_loss": 0.6971798539161682, "eval_runtime": 98.1624, "eval_samples_per_second": 2.037, "eval_steps_per_second": 0.509, "step": 75 }, { "epoch": 2.432, "grad_norm": 0.9685893079320761, "learning_rate": 2e-05, "loss": 0.8047, "step": 76 }, { "epoch": 2.432, "eval_loss": 0.696861743927002, "eval_runtime": 98.6404, "eval_samples_per_second": 2.028, "eval_steps_per_second": 0.507, "step": 76 }, { "epoch": 2.464, "grad_norm": 0.9753091933204456, "learning_rate": 2e-05, "loss": 0.684, "step": 77 }, { "epoch": 2.464, "eval_loss": 0.6957904100418091, "eval_runtime": 98.8766, "eval_samples_per_second": 2.023, "eval_steps_per_second": 0.506, "step": 77 }, { "epoch": 2.496, "grad_norm": 0.9389149478503764, "learning_rate": 2e-05, "loss": 0.7434, "step": 78 }, { "epoch": 2.496, "eval_loss": 0.6943306922912598, "eval_runtime": 98.5751, "eval_samples_per_second": 2.029, "eval_steps_per_second": 0.507, "step": 78 }, { "epoch": 2.528, "grad_norm": 1.0675154845211299, "learning_rate": 2e-05, "loss": 0.7208, "step": 79 }, { "epoch": 2.528, "eval_loss": 0.6920651197433472, "eval_runtime": 99.0851, "eval_samples_per_second": 2.018, "eval_steps_per_second": 0.505, "step": 79 }, { "epoch": 2.56, "grad_norm": 0.9937936593307737, "learning_rate": 2e-05, "loss": 0.6948, "step": 80 }, { "epoch": 2.56, "eval_loss": 0.6899142265319824, "eval_runtime": 98.7974, "eval_samples_per_second": 2.024, "eval_steps_per_second": 0.506, "step": 80 }, { "epoch": 2.592, "grad_norm": 0.9650832276698476, "learning_rate": 2e-05, "loss": 0.7666, "step": 81 }, { "epoch": 2.592, "eval_loss": 0.6886695623397827, "eval_runtime": 98.6813, "eval_samples_per_second": 2.027, "eval_steps_per_second": 0.507, "step": 81 }, { "epoch": 2.624, "grad_norm": 0.9961610958296112, "learning_rate": 2e-05, "loss": 0.7741, "step": 82 }, { "epoch": 2.624, "eval_loss": 0.687745213508606, "eval_runtime": 98.624, "eval_samples_per_second": 2.028, "eval_steps_per_second": 0.507, "step": 82 }, { "epoch": 2.656, "grad_norm": 1.0261499699526089, "learning_rate": 2e-05, "loss": 0.7747, "step": 83 }, { "epoch": 2.656, "eval_loss": 0.6869972944259644, "eval_runtime": 98.9604, "eval_samples_per_second": 2.021, "eval_steps_per_second": 0.505, "step": 83 }, { "epoch": 2.6879999999999997, "grad_norm": 1.025059237745532, "learning_rate": 2e-05, "loss": 0.7526, "step": 84 }, { "epoch": 2.6879999999999997, "eval_loss": 0.6862147450447083, "eval_runtime": 98.4387, "eval_samples_per_second": 2.032, "eval_steps_per_second": 0.508, "step": 84 }, { "epoch": 2.7199999999999998, "grad_norm": 1.1383626266013125, "learning_rate": 2e-05, "loss": 0.683, "step": 85 }, { "epoch": 2.7199999999999998, "eval_loss": 0.6845572590827942, "eval_runtime": 98.4979, "eval_samples_per_second": 2.03, "eval_steps_per_second": 0.508, "step": 85 }, { "epoch": 2.752, "grad_norm": 1.0427739679421295, "learning_rate": 2e-05, "loss": 0.7362, "step": 86 }, { "epoch": 2.752, "eval_loss": 0.683280348777771, "eval_runtime": 103.6707, "eval_samples_per_second": 1.929, "eval_steps_per_second": 0.482, "step": 86 }, { "epoch": 2.784, "grad_norm": 1.1280129141879938, "learning_rate": 2e-05, "loss": 0.7743, "step": 87 }, { "epoch": 2.784, "eval_loss": 0.6824235320091248, "eval_runtime": 99.2995, "eval_samples_per_second": 2.014, "eval_steps_per_second": 0.504, "step": 87 }, { "epoch": 2.816, "grad_norm": 1.0017715497784696, "learning_rate": 2e-05, "loss": 0.7164, "step": 88 }, { "epoch": 2.816, "eval_loss": 0.6819013357162476, "eval_runtime": 99.5206, "eval_samples_per_second": 2.01, "eval_steps_per_second": 0.502, "step": 88 }, { "epoch": 2.848, "grad_norm": 1.0769673642284994, "learning_rate": 2e-05, "loss": 0.7013, "step": 89 }, { "epoch": 2.848, "eval_loss": 0.6820746064186096, "eval_runtime": 96.5197, "eval_samples_per_second": 2.072, "eval_steps_per_second": 0.518, "step": 89 }, { "epoch": 2.88, "grad_norm": 1.0389167281844591, "learning_rate": 2e-05, "loss": 0.6805, "step": 90 }, { "epoch": 2.88, "eval_loss": 0.6826525926589966, "eval_runtime": 96.0942, "eval_samples_per_second": 2.081, "eval_steps_per_second": 0.52, "step": 90 }, { "epoch": 2.912, "grad_norm": 0.9705743838620626, "learning_rate": 2e-05, "loss": 0.7681, "step": 91 }, { "epoch": 2.912, "eval_loss": 0.6836435198783875, "eval_runtime": 96.2441, "eval_samples_per_second": 2.078, "eval_steps_per_second": 0.52, "step": 91 }, { "epoch": 2.944, "grad_norm": 1.037823791993831, "learning_rate": 2e-05, "loss": 0.7532, "step": 92 }, { "epoch": 2.944, "eval_loss": 0.6845746040344238, "eval_runtime": 96.2394, "eval_samples_per_second": 2.078, "eval_steps_per_second": 0.52, "step": 92 }, { "epoch": 2.976, "grad_norm": 1.1323835942146157, "learning_rate": 2e-05, "loss": 0.7171, "step": 93 }, { "epoch": 2.976, "eval_loss": 0.684663712978363, "eval_runtime": 96.23, "eval_samples_per_second": 2.078, "eval_steps_per_second": 0.52, "step": 93 }, { "epoch": 3.008, "grad_norm": 1.1957864756602699, "learning_rate": 2e-05, "loss": 0.7166, "step": 94 }, { "epoch": 3.008, "eval_loss": 0.6830846667289734, "eval_runtime": 96.6549, "eval_samples_per_second": 2.069, "eval_steps_per_second": 0.517, "step": 94 }, { "epoch": 3.04, "grad_norm": 1.1077357794232636, "learning_rate": 2e-05, "loss": 0.6667, "step": 95 }, { "epoch": 3.04, "eval_loss": 0.6810076832771301, "eval_runtime": 96.3239, "eval_samples_per_second": 2.076, "eval_steps_per_second": 0.519, "step": 95 }, { "epoch": 3.072, "grad_norm": 1.1851219157184936, "learning_rate": 2e-05, "loss": 0.7115, "step": 96 }, { "epoch": 3.072, "eval_loss": 0.6796395778656006, "eval_runtime": 96.9109, "eval_samples_per_second": 2.064, "eval_steps_per_second": 0.516, "step": 96 }, { "epoch": 3.104, "grad_norm": 1.0812671042616444, "learning_rate": 2e-05, "loss": 0.7333, "step": 97 }, { "epoch": 3.104, "eval_loss": 0.6794567108154297, "eval_runtime": 96.7403, "eval_samples_per_second": 2.067, "eval_steps_per_second": 0.517, "step": 97 }, { "epoch": 3.136, "grad_norm": 1.130095597839828, "learning_rate": 2e-05, "loss": 0.6328, "step": 98 }, { "epoch": 3.136, "eval_loss": 0.6792007684707642, "eval_runtime": 96.8136, "eval_samples_per_second": 2.066, "eval_steps_per_second": 0.516, "step": 98 }, { "epoch": 3.168, "grad_norm": 1.16102100344116, "learning_rate": 2e-05, "loss": 0.6625, "step": 99 }, { "epoch": 3.168, "eval_loss": 0.6789132952690125, "eval_runtime": 96.6982, "eval_samples_per_second": 2.068, "eval_steps_per_second": 0.517, "step": 99 }, { "epoch": 3.2, "grad_norm": 1.226689811951201, "learning_rate": 2e-05, "loss": 0.7522, "step": 100 }, { "epoch": 3.2, "eval_loss": 0.6786602735519409, "eval_runtime": 96.6253, "eval_samples_per_second": 2.07, "eval_steps_per_second": 0.517, "step": 100 }, { "epoch": 3.232, "grad_norm": 1.1623462595850367, "learning_rate": 2e-05, "loss": 0.6755, "step": 101 }, { "epoch": 3.232, "eval_loss": 0.6791322827339172, "eval_runtime": 96.5222, "eval_samples_per_second": 2.072, "eval_steps_per_second": 0.518, "step": 101 }, { "epoch": 3.2640000000000002, "grad_norm": 1.16303930181089, "learning_rate": 2e-05, "loss": 0.6752, "step": 102 }, { "epoch": 3.2640000000000002, "eval_loss": 0.680637538433075, "eval_runtime": 96.8789, "eval_samples_per_second": 2.064, "eval_steps_per_second": 0.516, "step": 102 }, { "epoch": 3.296, "grad_norm": 1.166028046661615, "learning_rate": 2e-05, "loss": 0.6732, "step": 103 }, { "epoch": 3.296, "eval_loss": 0.6818951964378357, "eval_runtime": 96.7579, "eval_samples_per_second": 2.067, "eval_steps_per_second": 0.517, "step": 103 }, { "epoch": 3.328, "grad_norm": 1.2872370423601793, "learning_rate": 2e-05, "loss": 0.7713, "step": 104 }, { "epoch": 3.328, "eval_loss": 0.682328462600708, "eval_runtime": 98.3142, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.509, "step": 104 }, { "epoch": 3.36, "grad_norm": 1.1363822202896854, "learning_rate": 2e-05, "loss": 0.7429, "step": 105 }, { "epoch": 3.36, "eval_loss": 0.6817943453788757, "eval_runtime": 100.7507, "eval_samples_per_second": 1.985, "eval_steps_per_second": 0.496, "step": 105 }, { "epoch": 3.416, "grad_norm": 1.2711044658075554, "learning_rate": 2e-05, "loss": 0.7057, "step": 106 }, { "epoch": 3.416, "eval_loss": 0.6794378161430359, "eval_runtime": 100.4096, "eval_samples_per_second": 1.992, "eval_steps_per_second": 0.498, "step": 106 }, { "epoch": 3.448, "grad_norm": 1.3212295597772596, "learning_rate": 2e-05, "loss": 0.6982, "step": 107 }, { "epoch": 3.448, "eval_loss": 0.6767404079437256, "eval_runtime": 96.6386, "eval_samples_per_second": 2.07, "eval_steps_per_second": 0.517, "step": 107 }, { "epoch": 3.48, "grad_norm": 1.2420948881737728, "learning_rate": 2e-05, "loss": 0.7092, "step": 108 }, { "epoch": 3.48, "eval_loss": 0.6751566529273987, "eval_runtime": 95.1851, "eval_samples_per_second": 2.101, "eval_steps_per_second": 0.525, "step": 108 }, { "epoch": 3.512, "grad_norm": 1.2965352636029341, "learning_rate": 2e-05, "loss": 0.6715, "step": 109 }, { "epoch": 3.512, "eval_loss": 0.6750080585479736, "eval_runtime": 95.3479, "eval_samples_per_second": 2.098, "eval_steps_per_second": 0.524, "step": 109 }, { "epoch": 3.544, "grad_norm": 1.2789534479099607, "learning_rate": 2e-05, "loss": 0.6732, "step": 110 }, { "epoch": 3.544, "eval_loss": 0.6744334697723389, "eval_runtime": 95.3541, "eval_samples_per_second": 2.097, "eval_steps_per_second": 0.524, "step": 110 }, { "epoch": 3.576, "grad_norm": 1.3881035995379567, "learning_rate": 2e-05, "loss": 0.6777, "step": 111 }, { "epoch": 3.576, "eval_loss": 0.6730498671531677, "eval_runtime": 96.972, "eval_samples_per_second": 2.062, "eval_steps_per_second": 0.516, "step": 111 }, { "epoch": 3.608, "grad_norm": 1.2398078245019133, "learning_rate": 2e-05, "loss": 0.6314, "step": 112 }, { "epoch": 3.608, "eval_loss": 0.6725335717201233, "eval_runtime": 97.1794, "eval_samples_per_second": 2.058, "eval_steps_per_second": 0.515, "step": 112 }, { "epoch": 3.64, "grad_norm": 1.3383993031041075, "learning_rate": 2e-05, "loss": 0.6776, "step": 113 }, { "epoch": 3.64, "eval_loss": 0.6719880104064941, "eval_runtime": 97.2319, "eval_samples_per_second": 2.057, "eval_steps_per_second": 0.514, "step": 113 }, { "epoch": 3.672, "grad_norm": 1.289557205987285, "learning_rate": 2e-05, "loss": 0.7475, "step": 114 }, { "epoch": 3.672, "eval_loss": 0.6723533868789673, "eval_runtime": 97.3108, "eval_samples_per_second": 2.055, "eval_steps_per_second": 0.514, "step": 114 }, { "epoch": 3.7039999999999997, "grad_norm": 1.121644844950096, "learning_rate": 2e-05, "loss": 0.6813, "step": 115 }, { "epoch": 3.7039999999999997, "eval_loss": 0.673932671546936, "eval_runtime": 97.0919, "eval_samples_per_second": 2.06, "eval_steps_per_second": 0.515, "step": 115 }, { "epoch": 3.7359999999999998, "grad_norm": 1.5370551636574723, "learning_rate": 2e-05, "loss": 0.7036, "step": 116 }, { "epoch": 3.7359999999999998, "eval_loss": 0.6737978458404541, "eval_runtime": 97.0064, "eval_samples_per_second": 2.062, "eval_steps_per_second": 0.515, "step": 116 }, { "epoch": 3.768, "grad_norm": 1.3017720066449985, "learning_rate": 2e-05, "loss": 0.7048, "step": 117 }, { "epoch": 3.768, "eval_loss": 0.6731936931610107, "eval_runtime": 96.9134, "eval_samples_per_second": 2.064, "eval_steps_per_second": 0.516, "step": 117 }, { "epoch": 3.8, "grad_norm": 1.3976157986974596, "learning_rate": 2e-05, "loss": 0.6512, "step": 118 }, { "epoch": 3.8, "eval_loss": 0.6716210842132568, "eval_runtime": 97.4028, "eval_samples_per_second": 2.053, "eval_steps_per_second": 0.513, "step": 118 }, { "epoch": 3.832, "grad_norm": 1.3982632064891347, "learning_rate": 2e-05, "loss": 0.6481, "step": 119 }, { "epoch": 3.832, "eval_loss": 0.6690347194671631, "eval_runtime": 97.2096, "eval_samples_per_second": 2.057, "eval_steps_per_second": 0.514, "step": 119 }, { "epoch": 3.864, "grad_norm": 1.346077433712507, "learning_rate": 2e-05, "loss": 0.6005, "step": 120 }, { "epoch": 3.864, "eval_loss": 0.667186975479126, "eval_runtime": 97.326, "eval_samples_per_second": 2.055, "eval_steps_per_second": 0.514, "step": 120 }, { "epoch": 3.896, "grad_norm": 1.3142652448176726, "learning_rate": 2e-05, "loss": 0.6967, "step": 121 }, { "epoch": 3.896, "eval_loss": 0.6662881970405579, "eval_runtime": 101.7648, "eval_samples_per_second": 1.965, "eval_steps_per_second": 0.491, "step": 121 }, { "epoch": 3.928, "grad_norm": 1.3368669812290557, "learning_rate": 2e-05, "loss": 0.6954, "step": 122 }, { "epoch": 3.928, "eval_loss": 0.6659301519393921, "eval_runtime": 98.3123, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.509, "step": 122 }, { "epoch": 3.96, "grad_norm": 1.3992228513792793, "learning_rate": 2e-05, "loss": 0.6168, "step": 123 }, { "epoch": 3.96, "eval_loss": 0.6662861704826355, "eval_runtime": 98.5527, "eval_samples_per_second": 2.029, "eval_steps_per_second": 0.507, "step": 123 }, { "epoch": 3.992, "grad_norm": 1.403303492690172, "learning_rate": 2e-05, "loss": 0.6818, "step": 124 }, { "epoch": 3.992, "eval_loss": 0.666582465171814, "eval_runtime": 95.7576, "eval_samples_per_second": 2.089, "eval_steps_per_second": 0.522, "step": 124 }, { "epoch": 4.024, "grad_norm": 1.37383602466541, "learning_rate": 2e-05, "loss": 0.6539, "step": 125 }, { "epoch": 4.024, "eval_loss": 0.6666322350502014, "eval_runtime": 95.5774, "eval_samples_per_second": 2.093, "eval_steps_per_second": 0.523, "step": 125 }, { "epoch": 4.056, "grad_norm": 1.3760569151679132, "learning_rate": 2e-05, "loss": 0.7157, "step": 126 }, { "epoch": 4.056, "eval_loss": 0.6672561764717102, "eval_runtime": 99.9115, "eval_samples_per_second": 2.002, "eval_steps_per_second": 0.5, "step": 126 }, { "epoch": 4.088, "grad_norm": 1.3234088412698182, "learning_rate": 2e-05, "loss": 0.644, "step": 127 }, { "epoch": 4.088, "eval_loss": 0.6687076091766357, "eval_runtime": 95.8064, "eval_samples_per_second": 2.088, "eval_steps_per_second": 0.522, "step": 127 }, { "epoch": 4.12, "grad_norm": 1.300670493052994, "learning_rate": 2e-05, "loss": 0.6551, "step": 128 }, { "epoch": 4.12, "eval_loss": 0.6709404587745667, "eval_runtime": 97.4903, "eval_samples_per_second": 2.051, "eval_steps_per_second": 0.513, "step": 128 }, { "epoch": 4.152, "grad_norm": 1.469380020399129, "learning_rate": 2e-05, "loss": 0.584, "step": 129 }, { "epoch": 4.152, "eval_loss": 0.6740531325340271, "eval_runtime": 95.7054, "eval_samples_per_second": 2.09, "eval_steps_per_second": 0.522, "step": 129 }, { "epoch": 4.184, "grad_norm": 1.411712759624833, "learning_rate": 2e-05, "loss": 0.6349, "step": 130 }, { "epoch": 4.184, "eval_loss": 0.676266074180603, "eval_runtime": 95.9231, "eval_samples_per_second": 2.085, "eval_steps_per_second": 0.521, "step": 130 }, { "epoch": 4.216, "grad_norm": 1.5130330368136387, "learning_rate": 2e-05, "loss": 0.6328, "step": 131 }, { "epoch": 4.216, "eval_loss": 0.6771231293678284, "eval_runtime": 95.9553, "eval_samples_per_second": 2.084, "eval_steps_per_second": 0.521, "step": 131 }, { "epoch": 4.248, "grad_norm": 1.6050594949836388, "learning_rate": 2e-05, "loss": 0.6015, "step": 132 }, { "epoch": 4.248, "eval_loss": 0.6763471961021423, "eval_runtime": 96.0391, "eval_samples_per_second": 2.082, "eval_steps_per_second": 0.521, "step": 132 }, { "epoch": 4.28, "grad_norm": 1.6386261889303306, "learning_rate": 2e-05, "loss": 0.6793, "step": 133 }, { "epoch": 4.28, "eval_loss": 0.6736429333686829, "eval_runtime": 96.0315, "eval_samples_per_second": 2.083, "eval_steps_per_second": 0.521, "step": 133 }, { "epoch": 4.312, "grad_norm": 1.6157081951509844, "learning_rate": 2e-05, "loss": 0.5718, "step": 134 }, { "epoch": 4.312, "eval_loss": 0.672798752784729, "eval_runtime": 95.7787, "eval_samples_per_second": 2.088, "eval_steps_per_second": 0.522, "step": 134 }, { "epoch": 4.344, "grad_norm": 1.5634717589762641, "learning_rate": 2e-05, "loss": 0.6596, "step": 135 }, { "epoch": 4.344, "eval_loss": 0.67247474193573, "eval_runtime": 96.034, "eval_samples_per_second": 2.083, "eval_steps_per_second": 0.521, "step": 135 }, { "epoch": 4.376, "grad_norm": 1.428039434695232, "learning_rate": 2e-05, "loss": 0.6232, "step": 136 }, { "epoch": 4.376, "eval_loss": 0.6719217896461487, "eval_runtime": 100.919, "eval_samples_per_second": 1.982, "eval_steps_per_second": 0.495, "step": 136 }, { "epoch": 4.408, "grad_norm": 1.6531362233925706, "learning_rate": 2e-05, "loss": 0.633, "step": 137 }, { "epoch": 4.408, "eval_loss": 0.6712325811386108, "eval_runtime": 96.846, "eval_samples_per_second": 2.065, "eval_steps_per_second": 0.516, "step": 137 }, { "epoch": 4.44, "grad_norm": 1.5172899677155884, "learning_rate": 2e-05, "loss": 0.655, "step": 138 }, { "epoch": 4.44, "eval_loss": 0.6704159379005432, "eval_runtime": 96.9878, "eval_samples_per_second": 2.062, "eval_steps_per_second": 0.516, "step": 138 }, { "epoch": 4.4719999999999995, "grad_norm": 1.561414875887358, "learning_rate": 2e-05, "loss": 0.6457, "step": 139 }, { "epoch": 4.4719999999999995, "eval_loss": 0.6703745126724243, "eval_runtime": 96.8356, "eval_samples_per_second": 2.065, "eval_steps_per_second": 0.516, "step": 139 }, { "epoch": 4.504, "grad_norm": 1.559805415806941, "learning_rate": 2e-05, "loss": 0.5771, "step": 140 }, { "epoch": 4.504, "eval_loss": 0.6714787483215332, "eval_runtime": 96.7177, "eval_samples_per_second": 2.068, "eval_steps_per_second": 0.517, "step": 140 }, { "epoch": 4.536, "grad_norm": 1.4633822461746586, "learning_rate": 2e-05, "loss": 0.6637, "step": 141 }, { "epoch": 4.536, "eval_loss": 0.6731461882591248, "eval_runtime": 96.6195, "eval_samples_per_second": 2.07, "eval_steps_per_second": 0.517, "step": 141 }, { "epoch": 4.568, "grad_norm": 1.5001482095613168, "learning_rate": 2e-05, "loss": 0.599, "step": 142 }, { "epoch": 4.568, "eval_loss": 0.6755445599555969, "eval_runtime": 96.8032, "eval_samples_per_second": 2.066, "eval_steps_per_second": 0.517, "step": 142 }, { "epoch": 4.6, "grad_norm": 1.5542517583357578, "learning_rate": 2e-05, "loss": 0.6962, "step": 143 }, { "epoch": 4.6, "eval_loss": 0.676831841468811, "eval_runtime": 96.681, "eval_samples_per_second": 2.069, "eval_steps_per_second": 0.517, "step": 143 }, { "epoch": 4.632, "grad_norm": 1.7874313314626142, "learning_rate": 2e-05, "loss": 0.672, "step": 144 }, { "epoch": 4.632, "eval_loss": 0.6758092641830444, "eval_runtime": 96.7218, "eval_samples_per_second": 2.068, "eval_steps_per_second": 0.517, "step": 144 }, { "epoch": 4.664, "grad_norm": 1.7573329016960397, "learning_rate": 2e-05, "loss": 0.6765, "step": 145 }, { "epoch": 4.664, "eval_loss": 0.673170804977417, "eval_runtime": 96.9733, "eval_samples_per_second": 2.062, "eval_steps_per_second": 0.516, "step": 145 }, { "epoch": 4.696, "grad_norm": 1.810854526623386, "learning_rate": 2e-05, "loss": 0.603, "step": 146 }, { "epoch": 4.696, "eval_loss": 0.6707517504692078, "eval_runtime": 97.1234, "eval_samples_per_second": 2.059, "eval_steps_per_second": 0.515, "step": 146 }, { "epoch": 4.728, "grad_norm": 1.6602824802653684, "learning_rate": 2e-05, "loss": 0.6737, "step": 147 }, { "epoch": 4.728, "eval_loss": 0.6700997352600098, "eval_runtime": 97.684, "eval_samples_per_second": 2.047, "eval_steps_per_second": 0.512, "step": 147 }, { "epoch": 4.76, "grad_norm": 1.6003528772082565, "learning_rate": 2e-05, "loss": 0.6273, "step": 148 }, { "epoch": 4.76, "eval_loss": 0.6702569723129272, "eval_runtime": 97.9207, "eval_samples_per_second": 2.042, "eval_steps_per_second": 0.511, "step": 148 }, { "epoch": 4.792, "grad_norm": 1.7589414235088812, "learning_rate": 2e-05, "loss": 0.6506, "step": 149 }, { "epoch": 4.792, "eval_loss": 0.6695287227630615, "eval_runtime": 101.3732, "eval_samples_per_second": 1.973, "eval_steps_per_second": 0.493, "step": 149 }, { "epoch": 4.824, "grad_norm": 1.6938091591501239, "learning_rate": 2e-05, "loss": 0.6686, "step": 150 }, { "epoch": 4.824, "eval_loss": 0.668477475643158, "eval_runtime": 97.6627, "eval_samples_per_second": 2.048, "eval_steps_per_second": 0.512, "step": 150 }, { "epoch": 4.856, "grad_norm": 1.608763198857675, "learning_rate": 2e-05, "loss": 0.6195, "step": 151 }, { "epoch": 4.856, "eval_loss": 0.6693387627601624, "eval_runtime": 97.7685, "eval_samples_per_second": 2.046, "eval_steps_per_second": 0.511, "step": 151 }, { "epoch": 4.888, "grad_norm": 1.6097289501697254, "learning_rate": 2e-05, "loss": 0.6312, "step": 152 }, { "epoch": 4.888, "eval_loss": 0.671579122543335, "eval_runtime": 98.0084, "eval_samples_per_second": 2.041, "eval_steps_per_second": 0.51, "step": 152 }, { "epoch": 4.92, "grad_norm": 1.663125360797784, "learning_rate": 2e-05, "loss": 0.6085, "step": 153 }, { "epoch": 4.92, "eval_loss": 0.6731156706809998, "eval_runtime": 101.7316, "eval_samples_per_second": 1.966, "eval_steps_per_second": 0.491, "step": 153 }, { "epoch": 4.952, "grad_norm": 1.7048758510238142, "learning_rate": 2e-05, "loss": 0.5892, "step": 154 }, { "epoch": 4.952, "eval_loss": 0.6740117073059082, "eval_runtime": 99.4799, "eval_samples_per_second": 2.01, "eval_steps_per_second": 0.503, "step": 154 }, { "epoch": 4.984, "grad_norm": 1.76386882573663, "learning_rate": 2e-05, "loss": 0.672, "step": 155 }, { "epoch": 4.984, "eval_loss": 0.6743689775466919, "eval_runtime": 97.7253, "eval_samples_per_second": 2.047, "eval_steps_per_second": 0.512, "step": 155 }, { "epoch": 5.016, "grad_norm": 1.7509773113974625, "learning_rate": 2e-05, "loss": 0.6116, "step": 156 }, { "epoch": 5.016, "eval_loss": 0.6741358041763306, "eval_runtime": 98.3883, "eval_samples_per_second": 2.033, "eval_steps_per_second": 0.508, "step": 156 }, { "epoch": 5.048, "grad_norm": 1.5565965136472677, "learning_rate": 2e-05, "loss": 0.6127, "step": 157 }, { "epoch": 5.048, "eval_loss": 0.6740756034851074, "eval_runtime": 101.9672, "eval_samples_per_second": 1.961, "eval_steps_per_second": 0.49, "step": 157 }, { "epoch": 5.08, "grad_norm": 1.9955642505530427, "learning_rate": 2e-05, "loss": 0.6443, "step": 158 }, { "epoch": 5.08, "eval_loss": 0.6744682192802429, "eval_runtime": 98.3076, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.509, "step": 158 }, { "epoch": 5.112, "grad_norm": 1.8176947504827694, "learning_rate": 2e-05, "loss": 0.5888, "step": 159 }, { "epoch": 5.112, "eval_loss": 0.6758521795272827, "eval_runtime": 98.7513, "eval_samples_per_second": 2.025, "eval_steps_per_second": 0.506, "step": 159 }, { "epoch": 5.144, "grad_norm": 1.7331383222528083, "learning_rate": 2e-05, "loss": 0.5546, "step": 160 }, { "epoch": 5.144, "eval_loss": 0.6774488687515259, "eval_runtime": 98.3772, "eval_samples_per_second": 2.033, "eval_steps_per_second": 0.508, "step": 160 }, { "epoch": 5.176, "grad_norm": 1.75241290367163, "learning_rate": 2e-05, "loss": 0.5998, "step": 161 }, { "epoch": 5.176, "eval_loss": 0.6794152855873108, "eval_runtime": 98.3674, "eval_samples_per_second": 2.033, "eval_steps_per_second": 0.508, "step": 161 }, { "epoch": 5.208, "grad_norm": 1.7003083342136756, "learning_rate": 2e-05, "loss": 0.5975, "step": 162 }, { "epoch": 5.208, "eval_loss": 0.6831446290016174, "eval_runtime": 98.6795, "eval_samples_per_second": 2.027, "eval_steps_per_second": 0.507, "step": 162 }, { "epoch": 5.24, "grad_norm": 1.785157318448805, "learning_rate": 2e-05, "loss": 0.5781, "step": 163 }, { "epoch": 5.24, "eval_loss": 0.6875630021095276, "eval_runtime": 98.4039, "eval_samples_per_second": 2.032, "eval_steps_per_second": 0.508, "step": 163 }, { "epoch": 5.272, "grad_norm": 1.859036903737362, "learning_rate": 2e-05, "loss": 0.5615, "step": 164 }, { "epoch": 5.272, "eval_loss": 0.693569004535675, "eval_runtime": 99.2787, "eval_samples_per_second": 2.015, "eval_steps_per_second": 0.504, "step": 164 }, { "epoch": 5.304, "grad_norm": 2.290233637955866, "learning_rate": 2e-05, "loss": 0.5671, "step": 165 }, { "epoch": 5.304, "eval_loss": 0.6963732838630676, "eval_runtime": 98.5962, "eval_samples_per_second": 2.028, "eval_steps_per_second": 0.507, "step": 165 }, { "epoch": 5.336, "grad_norm": 2.227417470514151, "learning_rate": 2e-05, "loss": 0.5428, "step": 166 }, { "epoch": 5.336, "eval_loss": 0.6969068050384521, "eval_runtime": 98.6958, "eval_samples_per_second": 2.026, "eval_steps_per_second": 0.507, "step": 166 }, { "epoch": 5.368, "grad_norm": 1.9476792977962796, "learning_rate": 2e-05, "loss": 0.5565, "step": 167 }, { "epoch": 5.368, "eval_loss": 0.6963263154029846, "eval_runtime": 98.3324, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.508, "step": 167 }, { "epoch": 5.4, "grad_norm": 2.162996766467594, "learning_rate": 2e-05, "loss": 0.6007, "step": 168 }, { "epoch": 5.4, "eval_loss": 0.6939109563827515, "eval_runtime": 98.4668, "eval_samples_per_second": 2.031, "eval_steps_per_second": 0.508, "step": 168 }, { "epoch": 5.432, "grad_norm": 1.968981835172529, "learning_rate": 2e-05, "loss": 0.5998, "step": 169 }, { "epoch": 5.432, "eval_loss": 0.6911941766738892, "eval_runtime": 98.3172, "eval_samples_per_second": 2.034, "eval_steps_per_second": 0.509, "step": 169 }, { "epoch": 5.464, "grad_norm": 2.138560057900254, "learning_rate": 2e-05, "loss": 0.604, "step": 170 }, { "epoch": 5.464, "eval_loss": 0.6887597441673279, "eval_runtime": 98.5927, "eval_samples_per_second": 2.029, "eval_steps_per_second": 0.507, "step": 170 }, { "epoch": 5.496, "grad_norm": 2.1357688675388298, "learning_rate": 2e-05, "loss": 0.6759, "step": 171 }, { "epoch": 5.496, "eval_loss": 0.6867218017578125, "eval_runtime": 99.3257, "eval_samples_per_second": 2.014, "eval_steps_per_second": 0.503, "step": 171 }, { "epoch": 5.5280000000000005, "grad_norm": 1.9051181997840227, "learning_rate": 2e-05, "loss": 0.5683, "step": 172 }, { "epoch": 5.5280000000000005, "eval_loss": 0.6870632767677307, "eval_runtime": 101.5973, "eval_samples_per_second": 1.969, "eval_steps_per_second": 0.492, "step": 172 }, { "epoch": 5.5600000000000005, "grad_norm": 1.8730014322156263, "learning_rate": 2e-05, "loss": 0.5844, "step": 173 }, { "epoch": 5.5600000000000005, "eval_loss": 0.687735915184021, "eval_runtime": 99.0389, "eval_samples_per_second": 2.019, "eval_steps_per_second": 0.505, "step": 173 }, { "epoch": 5.592, "grad_norm": 2.0975374724504303, "learning_rate": 2e-05, "loss": 0.5527, "step": 174 }, { "epoch": 5.592, "eval_loss": 0.6883457899093628, "eval_runtime": 103.1356, "eval_samples_per_second": 1.939, "eval_steps_per_second": 0.485, "step": 174 }, { "epoch": 5.624, "grad_norm": 1.963623881621458, "learning_rate": 2e-05, "loss": 0.5733, "step": 175 }, { "epoch": 5.624, "eval_loss": 0.6880955696105957, "eval_runtime": 99.0308, "eval_samples_per_second": 2.02, "eval_steps_per_second": 0.505, "step": 175 }, { "epoch": 5.656, "grad_norm": 1.9734678506216243, "learning_rate": 2e-05, "loss": 0.5736, "step": 176 }, { "epoch": 5.656, "eval_loss": 0.6880485415458679, "eval_runtime": 98.9474, "eval_samples_per_second": 2.021, "eval_steps_per_second": 0.505, "step": 176 }, { "epoch": 5.688, "grad_norm": 2.0495076030097867, "learning_rate": 2e-05, "loss": 0.5776, "step": 177 }, { "epoch": 5.688, "eval_loss": 0.6872310042381287, "eval_runtime": 102.5632, "eval_samples_per_second": 1.95, "eval_steps_per_second": 0.488, "step": 177 }, { "epoch": 5.72, "grad_norm": 2.025156712060709, "learning_rate": 2e-05, "loss": 0.6222, "step": 178 }, { "epoch": 5.72, "eval_loss": 0.6866959929466248, "eval_runtime": 99.3548, "eval_samples_per_second": 2.013, "eval_steps_per_second": 0.503, "step": 178 }, { "epoch": 5.752, "grad_norm": 2.0714099206695527, "learning_rate": 2e-05, "loss": 0.5576, "step": 179 }, { "epoch": 5.752, "eval_loss": 0.6850792169570923, "eval_runtime": 98.948, "eval_samples_per_second": 2.021, "eval_steps_per_second": 0.505, "step": 179 }, { "epoch": 5.784, "grad_norm": 2.2380767249488596, "learning_rate": 2e-05, "loss": 0.5628, "step": 180 }, { "epoch": 5.784, "eval_loss": 0.6815983653068542, "eval_runtime": 99.1628, "eval_samples_per_second": 2.017, "eval_steps_per_second": 0.504, "step": 180 }, { "epoch": 5.816, "grad_norm": 2.104299018650581, "learning_rate": 2e-05, "loss": 0.6187, "step": 181 }, { "epoch": 5.816, "eval_loss": 0.6781284809112549, "eval_runtime": 99.6364, "eval_samples_per_second": 2.007, "eval_steps_per_second": 0.502, "step": 181 }, { "epoch": 5.848, "grad_norm": 1.8009729510896717, "learning_rate": 2e-05, "loss": 0.6278, "step": 182 }, { "epoch": 5.848, "eval_loss": 0.6774657964706421, "eval_runtime": 103.8813, "eval_samples_per_second": 1.925, "eval_steps_per_second": 0.481, "step": 182 }, { "epoch": 5.88, "grad_norm": 2.0126397552300004, "learning_rate": 2e-05, "loss": 0.5593, "step": 183 }, { "epoch": 5.88, "eval_loss": 0.6785845756530762, "eval_runtime": 99.366, "eval_samples_per_second": 2.013, "eval_steps_per_second": 0.503, "step": 183 }, { "epoch": 5.912, "grad_norm": 2.0468335329470935, "learning_rate": 2e-05, "loss": 0.5901, "step": 184 }, { "epoch": 5.912, "eval_loss": 0.679179847240448, "eval_runtime": 99.5061, "eval_samples_per_second": 2.01, "eval_steps_per_second": 0.502, "step": 184 }, { "epoch": 5.944, "grad_norm": 2.0374371712013644, "learning_rate": 2e-05, "loss": 0.5796, "step": 185 }, { "epoch": 5.944, "eval_loss": 0.6800404191017151, "eval_runtime": 103.6894, "eval_samples_per_second": 1.929, "eval_steps_per_second": 0.482, "step": 185 }, { "epoch": 5.976, "grad_norm": 1.8830432671282609, "learning_rate": 2e-05, "loss": 0.5817, "step": 186 }, { "epoch": 5.976, "eval_loss": 0.6804468631744385, "eval_runtime": 99.404, "eval_samples_per_second": 2.012, "eval_steps_per_second": 0.503, "step": 186 }, { "epoch": 6.032, "grad_norm": 2.017403579355368, "learning_rate": 2e-05, "loss": 0.5016, "step": 187 }, { "epoch": 6.032, "eval_loss": 0.6837186217308044, "eval_runtime": 100.1947, "eval_samples_per_second": 1.996, "eval_steps_per_second": 0.499, "step": 187 }, { "epoch": 6.064, "grad_norm": 2.0651550543256993, "learning_rate": 2e-05, "loss": 0.553, "step": 188 }, { "epoch": 6.064, "eval_loss": 0.69077467918396, "eval_runtime": 95.3645, "eval_samples_per_second": 2.097, "eval_steps_per_second": 0.524, "step": 188 }, { "epoch": 6.096, "grad_norm": 1.9670810588857728, "learning_rate": 2e-05, "loss": 0.4774, "step": 189 }, { "epoch": 6.096, "eval_loss": 0.6994524598121643, "eval_runtime": 95.1365, "eval_samples_per_second": 2.102, "eval_steps_per_second": 0.526, "step": 189 }, { "epoch": 6.128, "grad_norm": 2.3863132463229584, "learning_rate": 2e-05, "loss": 0.5911, "step": 190 }, { "epoch": 6.128, "eval_loss": 0.7065584063529968, "eval_runtime": 95.4502, "eval_samples_per_second": 2.095, "eval_steps_per_second": 0.524, "step": 190 }, { "epoch": 6.16, "grad_norm": 2.383412169995471, "learning_rate": 2e-05, "loss": 0.5147, "step": 191 }, { "epoch": 6.16, "eval_loss": 0.7110430002212524, "eval_runtime": 95.3022, "eval_samples_per_second": 2.099, "eval_steps_per_second": 0.525, "step": 191 }, { "epoch": 6.192, "grad_norm": 2.232544369144536, "learning_rate": 2e-05, "loss": 0.5373, "step": 192 }, { "epoch": 6.192, "eval_loss": 0.7141790986061096, "eval_runtime": 95.5843, "eval_samples_per_second": 2.092, "eval_steps_per_second": 0.523, "step": 192 }, { "epoch": 6.224, "grad_norm": 2.3948013626262967, "learning_rate": 2e-05, "loss": 0.5673, "step": 193 }, { "epoch": 6.224, "eval_loss": 0.7145071625709534, "eval_runtime": 96.0221, "eval_samples_per_second": 2.083, "eval_steps_per_second": 0.521, "step": 193 }, { "epoch": 6.256, "grad_norm": 2.282347010387328, "learning_rate": 2e-05, "loss": 0.4801, "step": 194 }, { "epoch": 6.256, "eval_loss": 0.7155389189720154, "eval_runtime": 95.409, "eval_samples_per_second": 2.096, "eval_steps_per_second": 0.524, "step": 194 }, { "epoch": 6.288, "grad_norm": 2.7116825717896456, "learning_rate": 2e-05, "loss": 0.5129, "step": 195 }, { "epoch": 6.288, "eval_loss": 0.7152263522148132, "eval_runtime": 95.627, "eval_samples_per_second": 2.091, "eval_steps_per_second": 0.523, "step": 195 }, { "epoch": 6.32, "grad_norm": 2.448822719551579, "learning_rate": 2e-05, "loss": 0.489, "step": 196 }, { "epoch": 6.32, "eval_loss": 0.7134693264961243, "eval_runtime": 96.5906, "eval_samples_per_second": 2.071, "eval_steps_per_second": 0.518, "step": 196 }, { "epoch": 6.352, "grad_norm": 2.4837784920734713, "learning_rate": 2e-05, "loss": 0.596, "step": 197 }, { "epoch": 6.352, "eval_loss": 0.712216317653656, "eval_runtime": 96.6659, "eval_samples_per_second": 2.069, "eval_steps_per_second": 0.517, "step": 197 }, { "epoch": 6.384, "grad_norm": 2.2425618673272503, "learning_rate": 2e-05, "loss": 0.5539, "step": 198 }, { "epoch": 6.384, "eval_loss": 0.7105411291122437, "eval_runtime": 100.6949, "eval_samples_per_second": 1.986, "eval_steps_per_second": 0.497, "step": 198 }, { "epoch": 6.416, "grad_norm": 2.523025242815658, "learning_rate": 2e-05, "loss": 0.4946, "step": 199 }, { "epoch": 6.416, "eval_loss": 0.7091856598854065, "eval_runtime": 97.1843, "eval_samples_per_second": 2.058, "eval_steps_per_second": 0.514, "step": 199 }, { "epoch": 6.448, "grad_norm": 2.4706535243909555, "learning_rate": 2e-05, "loss": 0.467, "step": 200 }, { "epoch": 6.448, "eval_loss": 0.7090812921524048, "eval_runtime": 97.069, "eval_samples_per_second": 2.06, "eval_steps_per_second": 0.515, "step": 200 }, { "epoch": 6.48, "grad_norm": 2.4466274248279833, "learning_rate": 2e-05, "loss": 0.55, "step": 201 }, { "epoch": 6.48, "eval_loss": 0.7091609835624695, "eval_runtime": 97.1978, "eval_samples_per_second": 2.058, "eval_steps_per_second": 0.514, "step": 201 }, { "epoch": 6.5120000000000005, "grad_norm": 2.1567587874173717, "learning_rate": 2e-05, "loss": 0.5304, "step": 202 }, { "epoch": 6.5120000000000005, "eval_loss": 0.7102614641189575, "eval_runtime": 98.9298, "eval_samples_per_second": 2.022, "eval_steps_per_second": 0.505, "step": 202 }, { "epoch": 6.5440000000000005, "grad_norm": 2.2160906906230533, "learning_rate": 2e-05, "loss": 0.5083, "step": 203 }, { "epoch": 6.5440000000000005, "eval_loss": 0.7119375467300415, "eval_runtime": 97.0494, "eval_samples_per_second": 2.061, "eval_steps_per_second": 0.515, "step": 203 }, { "epoch": 6.576, "grad_norm": 2.456064686081785, "learning_rate": 2e-05, "loss": 0.5854, "step": 204 }, { "epoch": 6.576, "eval_loss": 0.7119318246841431, "eval_runtime": 97.165, "eval_samples_per_second": 2.058, "eval_steps_per_second": 0.515, "step": 204 }, { "epoch": 6.608, "grad_norm": 2.5571159929171987, "learning_rate": 2e-05, "loss": 0.5087, "step": 205 }, { "epoch": 6.608, "eval_loss": 0.7104336619377136, "eval_runtime": 95.6354, "eval_samples_per_second": 2.091, "eval_steps_per_second": 0.523, "step": 205 }, { "epoch": 6.64, "grad_norm": 2.3833463477288443, "learning_rate": 2e-05, "loss": 0.5928, "step": 206 }, { "epoch": 6.64, "eval_loss": 0.7107654809951782, "eval_runtime": 95.7142, "eval_samples_per_second": 2.09, "eval_steps_per_second": 0.522, "step": 206 }, { "epoch": 6.672, "grad_norm": 2.6180355690739345, "learning_rate": 2e-05, "loss": 0.5246, "step": 207 }, { "epoch": 6.672, "eval_loss": 0.7117599248886108, "eval_runtime": 95.5237, "eval_samples_per_second": 2.094, "eval_steps_per_second": 0.523, "step": 207 }, { "epoch": 6.704, "grad_norm": 2.5327556511948934, "learning_rate": 2e-05, "loss": 0.5142, "step": 208 }, { "epoch": 6.704, "eval_loss": 0.7127364873886108, "eval_runtime": 95.5626, "eval_samples_per_second": 2.093, "eval_steps_per_second": 0.523, "step": 208 }, { "epoch": 6.736, "grad_norm": 2.7583060106689454, "learning_rate": 2e-05, "loss": 0.4868, "step": 209 }, { "epoch": 6.736, "eval_loss": 0.7133345603942871, "eval_runtime": 95.6791, "eval_samples_per_second": 2.09, "eval_steps_per_second": 0.523, "step": 209 }, { "epoch": 6.768, "grad_norm": 2.7441146469244115, "learning_rate": 2e-05, "loss": 0.5935, "step": 210 }, { "epoch": 6.768, "eval_loss": 0.7118194699287415, "eval_runtime": 95.4472, "eval_samples_per_second": 2.095, "eval_steps_per_second": 0.524, "step": 210 }, { "epoch": 6.8, "grad_norm": 2.7452663949689295, "learning_rate": 2e-05, "loss": 0.5331, "step": 211 }, { "epoch": 6.8, "eval_loss": 0.7106044292449951, "eval_runtime": 99.8571, "eval_samples_per_second": 2.003, "eval_steps_per_second": 0.501, "step": 211 }, { "epoch": 6.832, "grad_norm": 2.454028115196185, "learning_rate": 2e-05, "loss": 0.5491, "step": 212 }, { "epoch": 6.832, "eval_loss": 0.7110446691513062, "eval_runtime": 96.9239, "eval_samples_per_second": 2.063, "eval_steps_per_second": 0.516, "step": 212 }, { "epoch": 6.864, "grad_norm": 2.758969331776205, "learning_rate": 2e-05, "loss": 0.5442, "step": 213 }, { "epoch": 6.864, "eval_loss": 0.710289478302002, "eval_runtime": 96.7481, "eval_samples_per_second": 2.067, "eval_steps_per_second": 0.517, "step": 213 }, { "epoch": 6.896, "grad_norm": 2.5394726231273457, "learning_rate": 2e-05, "loss": 0.5422, "step": 214 }, { "epoch": 6.896, "eval_loss": 0.7084080576896667, "eval_runtime": 98.6547, "eval_samples_per_second": 2.027, "eval_steps_per_second": 0.507, "step": 214 }, { "epoch": 6.928, "grad_norm": 2.642919051796586, "learning_rate": 2e-05, "loss": 0.5721, "step": 215 }, { "epoch": 6.928, "eval_loss": 0.7063835263252258, "eval_runtime": 96.9686, "eval_samples_per_second": 2.063, "eval_steps_per_second": 0.516, "step": 215 }, { "epoch": 6.96, "grad_norm": 2.501395694239305, "learning_rate": 2e-05, "loss": 0.5742, "step": 216 }, { "epoch": 6.96, "eval_loss": 0.7037466168403625, "eval_runtime": 96.5477, "eval_samples_per_second": 2.072, "eval_steps_per_second": 0.518, "step": 216 }, { "epoch": 6.992, "grad_norm": 2.685414325564133, "learning_rate": 2e-05, "loss": 0.5195, "step": 217 }, { "epoch": 6.992, "eval_loss": 0.7025836110115051, "eval_runtime": 97.0823, "eval_samples_per_second": 2.06, "eval_steps_per_second": 0.515, "step": 217 }, { "epoch": 7.024, "grad_norm": 2.558047543529016, "learning_rate": 2e-05, "loss": 0.4689, "step": 218 }, { "epoch": 7.024, "eval_loss": 0.7044098377227783, "eval_runtime": 96.8828, "eval_samples_per_second": 2.064, "eval_steps_per_second": 0.516, "step": 218 }, { "epoch": 7.056, "grad_norm": 2.4415187474081192, "learning_rate": 2e-05, "loss": 0.4898, "step": 219 }, { "epoch": 7.056, "eval_loss": 0.7104077935218811, "eval_runtime": 96.9482, "eval_samples_per_second": 2.063, "eval_steps_per_second": 0.516, "step": 219 }, { "epoch": 7.088, "grad_norm": 2.4475533939573153, "learning_rate": 2e-05, "loss": 0.4652, "step": 220 }, { "epoch": 7.088, "eval_loss": 0.7213549613952637, "eval_runtime": 96.8958, "eval_samples_per_second": 2.064, "eval_steps_per_second": 0.516, "step": 220 }, { "epoch": 7.12, "grad_norm": 2.604960196075638, "learning_rate": 2e-05, "loss": 0.5096, "step": 221 }, { "epoch": 7.12, "eval_loss": 0.7343713641166687, "eval_runtime": 97.2891, "eval_samples_per_second": 2.056, "eval_steps_per_second": 0.514, "step": 221 }, { "epoch": 7.152, "grad_norm": 3.1059901537521135, "learning_rate": 2e-05, "loss": 0.4678, "step": 222 }, { "epoch": 7.152, "eval_loss": 0.7466915845870972, "eval_runtime": 97.7786, "eval_samples_per_second": 2.045, "eval_steps_per_second": 0.511, "step": 222 }, { "epoch": 7.184, "grad_norm": 2.6643302536817, "learning_rate": 2e-05, "loss": 0.4807, "step": 223 }, { "epoch": 7.184, "eval_loss": 0.7558013796806335, "eval_runtime": 97.7416, "eval_samples_per_second": 2.046, "eval_steps_per_second": 0.512, "step": 223 }, { "epoch": 7.216, "grad_norm": 3.218895177437451, "learning_rate": 2e-05, "loss": 0.4556, "step": 224 }, { "epoch": 7.216, "eval_loss": 0.7590299844741821, "eval_runtime": 97.7479, "eval_samples_per_second": 2.046, "eval_steps_per_second": 0.512, "step": 224 }, { "epoch": 7.248, "grad_norm": 3.367892941528959, "learning_rate": 2e-05, "loss": 0.4572, "step": 225 }, { "epoch": 7.248, "eval_loss": 0.7567412853240967, "eval_runtime": 97.6242, "eval_samples_per_second": 2.049, "eval_steps_per_second": 0.512, "step": 225 }, { "epoch": 7.28, "grad_norm": 2.860324389327654, "learning_rate": 2e-05, "loss": 0.4989, "step": 226 }, { "epoch": 7.28, "eval_loss": 0.7538604736328125, "eval_runtime": 97.8342, "eval_samples_per_second": 2.044, "eval_steps_per_second": 0.511, "step": 226 }, { "epoch": 7.312, "grad_norm": 2.783566742283421, "learning_rate": 2e-05, "loss": 0.5011, "step": 227 }, { "epoch": 7.312, "eval_loss": 0.7509406805038452, "eval_runtime": 98.0668, "eval_samples_per_second": 2.039, "eval_steps_per_second": 0.51, "step": 227 }, { "epoch": 7.344, "grad_norm": 2.95622825050015, "learning_rate": 2e-05, "loss": 0.4632, "step": 228 }, { "epoch": 7.344, "eval_loss": 0.7484157085418701, "eval_runtime": 97.8003, "eval_samples_per_second": 2.045, "eval_steps_per_second": 0.511, "step": 228 }, { "epoch": 7.376, "grad_norm": 2.868982236682872, "learning_rate": 2e-05, "loss": 0.5131, "step": 229 }, { "epoch": 7.376, "eval_loss": 0.7442774772644043, "eval_runtime": 97.779, "eval_samples_per_second": 2.045, "eval_steps_per_second": 0.511, "step": 229 }, { "epoch": 7.408, "grad_norm": 2.8398125186341456, "learning_rate": 2e-05, "loss": 0.4589, "step": 230 }, { "epoch": 7.408, "eval_loss": 0.7437787055969238, "eval_runtime": 100.3989, "eval_samples_per_second": 1.992, "eval_steps_per_second": 0.498, "step": 230 }, { "epoch": 7.44, "grad_norm": 2.860835801821795, "learning_rate": 2e-05, "loss": 0.4551, "step": 231 }, { "epoch": 7.44, "eval_loss": 0.7474150061607361, "eval_runtime": 100.3908, "eval_samples_per_second": 1.992, "eval_steps_per_second": 0.498, "step": 231 }, { "epoch": 7.4719999999999995, "grad_norm": 3.061812810287673, "learning_rate": 2e-05, "loss": 0.4393, "step": 232 }, { "epoch": 7.4719999999999995, "eval_loss": 0.751905083656311, "eval_runtime": 98.0564, "eval_samples_per_second": 2.04, "eval_steps_per_second": 0.51, "step": 232 }, { "epoch": 7.504, "grad_norm": 2.9460244368130764, "learning_rate": 2e-05, "loss": 0.4885, "step": 233 }, { "epoch": 7.504, "eval_loss": 0.7555700540542603, "eval_runtime": 97.6649, "eval_samples_per_second": 2.048, "eval_steps_per_second": 0.512, "step": 233 }, { "epoch": 7.536, "grad_norm": 3.195386368100557, "learning_rate": 2e-05, "loss": 0.4825, "step": 234 }, { "epoch": 7.536, "eval_loss": 0.7574471831321716, "eval_runtime": 97.8436, "eval_samples_per_second": 2.044, "eval_steps_per_second": 0.511, "step": 234 }, { "epoch": 7.568, "grad_norm": 3.2267422014122853, "learning_rate": 2e-05, "loss": 0.4369, "step": 235 }, { "epoch": 7.568, "eval_loss": 0.7590253949165344, "eval_runtime": 97.8616, "eval_samples_per_second": 2.044, "eval_steps_per_second": 0.511, "step": 235 }, { "epoch": 7.608, "grad_norm": 3.0309471686984115, "learning_rate": 2e-05, "loss": 0.4533, "step": 236 }, { "epoch": 7.608, "eval_loss": 0.7582225203514099, "eval_runtime": 102.1646, "eval_samples_per_second": 1.958, "eval_steps_per_second": 0.489, "step": 236 }, { "epoch": 7.64, "grad_norm": 3.0386242391155456, "learning_rate": 2e-05, "loss": 0.4557, "step": 237 }, { "epoch": 7.64, "eval_loss": 0.757209062576294, "eval_runtime": 96.2842, "eval_samples_per_second": 2.077, "eval_steps_per_second": 0.519, "step": 237 }, { "epoch": 7.672, "grad_norm": 3.595657373206686, "learning_rate": 2e-05, "loss": 0.493, "step": 238 }, { "epoch": 7.672, "eval_loss": 0.7517231702804565, "eval_runtime": 95.4225, "eval_samples_per_second": 2.096, "eval_steps_per_second": 0.524, "step": 238 }, { "epoch": 7.704, "grad_norm": 3.246444664818878, "learning_rate": 2e-05, "loss": 0.4663, "step": 239 }, { "epoch": 7.704, "eval_loss": 0.7478169202804565, "eval_runtime": 95.3771, "eval_samples_per_second": 2.097, "eval_steps_per_second": 0.524, "step": 239 }, { "epoch": 7.736, "grad_norm": 2.9436367134600827, "learning_rate": 2e-05, "loss": 0.4871, "step": 240 }, { "epoch": 7.736, "eval_loss": 0.7445845603942871, "eval_runtime": 98.2477, "eval_samples_per_second": 2.036, "eval_steps_per_second": 0.509, "step": 240 }, { "epoch": 7.768, "grad_norm": 2.8534339094113284, "learning_rate": 2e-05, "loss": 0.5307, "step": 241 }, { "epoch": 7.768, "eval_loss": 0.7433913946151733, "eval_runtime": 97.3211, "eval_samples_per_second": 2.055, "eval_steps_per_second": 0.514, "step": 241 }, { "epoch": 7.8, "grad_norm": 3.180683551713395, "learning_rate": 2e-05, "loss": 0.4189, "step": 242 }, { "epoch": 7.8, "eval_loss": 0.7443408370018005, "eval_runtime": 97.045, "eval_samples_per_second": 2.061, "eval_steps_per_second": 0.515, "step": 242 }, { "epoch": 7.832, "grad_norm": 2.915485597080642, "learning_rate": 2e-05, "loss": 0.466, "step": 243 }, { "epoch": 7.832, "eval_loss": 0.7447941303253174, "eval_runtime": 97.3217, "eval_samples_per_second": 2.055, "eval_steps_per_second": 0.514, "step": 243 }, { "epoch": 7.864, "grad_norm": 3.116167020951512, "learning_rate": 2e-05, "loss": 0.5012, "step": 244 }, { "epoch": 7.864, "eval_loss": 0.744431734085083, "eval_runtime": 97.2911, "eval_samples_per_second": 2.056, "eval_steps_per_second": 0.514, "step": 244 }, { "epoch": 7.896, "grad_norm": 3.0808644763492694, "learning_rate": 2e-05, "loss": 0.4809, "step": 245 }, { "epoch": 7.896, "eval_loss": 0.7447794079780579, "eval_runtime": 100.9572, "eval_samples_per_second": 1.981, "eval_steps_per_second": 0.495, "step": 245 }, { "epoch": 7.928, "grad_norm": 3.0956122448213836, "learning_rate": 2e-05, "loss": 0.4685, "step": 246 }, { "epoch": 7.928, "eval_loss": 0.7456656694412231, "eval_runtime": 99.4752, "eval_samples_per_second": 2.011, "eval_steps_per_second": 0.503, "step": 246 }, { "epoch": 7.96, "grad_norm": 3.1578427063687804, "learning_rate": 2e-05, "loss": 0.5019, "step": 247 }, { "epoch": 7.96, "eval_loss": 0.7482015490531921, "eval_runtime": 100.5527, "eval_samples_per_second": 1.989, "eval_steps_per_second": 0.497, "step": 247 }, { "epoch": 7.992, "grad_norm": 3.0384545980818096, "learning_rate": 2e-05, "loss": 0.4667, "step": 248 }, { "epoch": 7.992, "eval_loss": 0.7531342506408691, "eval_runtime": 96.9014, "eval_samples_per_second": 2.064, "eval_steps_per_second": 0.516, "step": 248 } ], "logging_steps": 1.0, "max_steps": 248, "num_input_tokens_seen": 0, "num_train_epochs": 8, "save_steps": 5, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": true }, "attributes": {} } }, "total_flos": 215944051097600.0, "train_batch_size": 4, "trial_name": null, "trial_params": null }